Code Review & Data Wrangling Clinic

Stuck on a messy dataset that’s throwing unhandled exceptions, weird date string formats, or duplicating rows? Let's fix it together.

This is a hands-on, screen-share session designed to help you cross the 'messy middle' of data preparation.

Bring your messy data to this session, and we will:

1. Debug your existing SQL queries or Python Pandas/Polars scripts.
2. Apply production-grade data cleaning practices (imputation techniques, regex string parsing, or reshaping data from wide to long format).
3. Optimize your scripts for efficiency so your data structures don't break when scaled in visualization tools like Tableau or Power BI.